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Member Of Technical Staff – AI Inference Platform, Features

Lyceum · Zürich

Lyceum is an early-stage company focused on building a sovereign AI inference cloud infrastructure within the European market. As a Member of Technical Staff for their AI Inference Platform, you will be responsible for expanding the platform's capabilities and managing the features that directly impact customer interactions. Your daily responsibilities will involve designing and shipping new platform features, including support for diverse model architectures and serving frameworks. You will work closely with the commercial team to translate customer feedback into technical designs, ensuring the platform remains reliable and scalable. A significant portion of the role focuses on improving the developer experience, from initial deployment to production monitoring and debugging. The ideal candidate is a software engineer with over three years of experience in backend or infrastructure systems, possessing strong proficiency in Go and Python. You should have practical experience with ML inference serving frameworks and a deep understanding of how large language models are deployed in production environments. This role suits someone who stays current with the open-source AI ecosystem and enjoys transforming emerging tools into production-grade platform capabilities.

ai infrastructureplatform engineeringbackend developmentml inferencedeveloper experiencegopythonkubernetesapi design

Your mission You will expand the capabilities of Lyceum's AI inference platform, the first EU-sovereign inference cloud. You'll own the features that customers interact with directly: model serving configurations, API surface, framework integrations, and developer experience. This means understanding what customers need, building it fast, and making sure it works reliably at scale. Your focus Feature development: Design and ship new platform capabilities - from supporting new model architectures and serving frameworks to building out API features that customers are asking for. Customer-facing engineering: Work closely with customers and the commercial team to understand real-world usage patterns, translate feature requests into technical designs, and iterate based on feedback. Developer experience: Improve the end-to-end experience of deploying and running inference on Lyceum, from initial setup through to monitoring and debugging in production. Your KPIs Number of platform features shipped Time from customer request to feature availability Breadth of supported models, frameworks, and deployment configurations Your profile We consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what's reasonably expected. You're someone who stays close to the rapidly evolving open-source AI ecosystem and gets energy from turning emerging tools into production-grade platform capabilities. Requirements 3+ years of experience in software engineering, with a focus on backend or infrastructure systems Strong proficiency in Go and Python Hands-on experience with at least one ML inference serving framework (vLLM, TGI, etc) Solid understanding of how large language models and other AI models are deployed and served in production Experience working with REST/gRPC APIs and designing developer-facing interfaces Nice to have Familiarity with GPU scheduling, batching strategies, or inference optimisation (quantisation, speculative decoding, etc.) Experience with Kubernetes and container orchestration in a production setting Knowledge of AI model formats and conversion pipelines (GGUF, SafeTensors, ONNX) Background in developer tools, platform engineering, or API design Why us? Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world Ownership: Shape how European AI companies access GPU compute European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech Find Jobs in Switzerland on Arbeitnow

RoleMember Of Technical Staff – AI Inference Platform, Features
CompanyLyceum
LocationZürich
CompensationNot disclosed
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

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